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Veerabhadran Baladandayuthapani
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2020 – today
- 2023
- [j16]Shariq Mohammed
, Sebastian Kurtek, Karthik Bharath, Arvind Rao, Veerabhadran Baladandayuthapani:
Tumor radiogenomics in gliomas with Bayesian layered variable selection. Medical Image Anal. 90: 102964 (2023) - [j15]Maria Masotti
DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices. Patterns 4(12): 100879 (2023) - 2022
- [j14]Satwik Acharyya
SpaceX: gene co-expression network estimation for spatial transcriptomics. Bioinform. 38(22): 5033-5041 (2022) - [j13]Yang Ni
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure. J. Mach. Learn. Res. 23: 242:1-242:29 (2022) - 2020
- [j12]Priyam Das
NExUS: Bayesian simultaneous network estimation across unequal sample sizes. Bioinform. 36(3): 798-804 (2020) - [c13]Qingzhi Liu, Min Jin Ha, Rupam Bhattacharyya, Lana X. Garmire, Veerabhadran Baladandayuthapani:
Network-Based Matching of Patients and Targeted Therapies for Precision Oncology. PSB 2020: 623-634
2010 – 2019
- 2019
- [j11]Sayantan Banerjee
Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer. Comput. Stat. Data Anal. 132: 46-69 (2019) - 2018
- [j10]Caleb A. Class
iDINGO - integrative differential network analysis in genomics with Shiny application. Bioinform. 34(7): 1243-1245 (2018) - [c12]Katherine Shoemaker, Brian P. Hobbs, Karthik Bharath, Chaan S. Ng, Veerabhadran Baladandayuthapani:
Tree-based methods for characterizing tumor density heterogeneity. PSB 2018: 216-227 - 2016
- [j9]Shabnam Azadeh, Brian P. Hobbs, Liangsuo Ma, David A. Nielsen
Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence. NeuroImage 125: 813-824 (2016) - [c11]Shabnam Azadeh, Brian P. Hobbs, Liangsuo Ma, David A. Nielsen
Integrative Bayesian analysis of neuroimaging-genetic data through hierarchical dimension reduction. ISBI 2016: 824-828 - 2015
- [j8]Min Jin Ha
DINGO: differential network analysis in genomics. Bioinform. 31(21): 3413-3420 (2015) - 2014
- [j7]Karl B. Gregory, Amin A. Momin, Kevin R. Coombes
Latent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 11(6): 984-994 (2014) - [j6]Carlos Ordonez, Carlos Garcia-Alvarado, Veerabhadran Baladandayuthapani:
Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets. ACM Trans. Knowl. Discov. Data 9(1): 3:1-3:14 (2014) - 2013
- [j5]Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju Manyam
iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data. Bioinform. 29(2): 149-159 (2013) - [j4]Wenting Wang, Veerabhadran Baladandayuthapani, Chris C. Holmes
Integrative network-based Bayesian analysis of diverse genomics data. BMC Bioinform. 14(S-13): S8 (2013) - [j3]Sanvesh Srivastava, Wenyi Wang
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. EURASIP J. Bioinform. Syst. Biol. 2013: 9 (2013) - [j2]Elizabeth M. Jennings, Jeffrey S. Morris, Raymond J. Carroll, Ganiraju Manyam
Bayesian methods for expression-based integration of various types of genomics data. EURASIP J. Bioinform. Syst. Biol. 2013: 13 (2013) - [c10]Wellington Cabrera, Carlos Ordonez, David Sergio Matusevich, Veerabhadran Baladandayuthapani:
Bayesian variable selection for linear regression in high dimensional microarray data. DTMBIO 2013: 17-18 - [c9]David Sergio Matusevich, Carlos Ordonez, Veerabhadran Baladandayuthapani:
A fast convergence clustering algorithm merging MCMC and EM methods. CIKM 2013: 1525-1528 - [c8]Anindya Bhadra, Veerabhadran Baladandayuthapani:
Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma. GENSiPS 2013: 1-4 - [c7]Rolando J. Olivares, Arvind U. K. Rao, Ganesh Rao, Jeffrey S. Morris, Veerabhadran Baladandayuthapani:
Integrative analysis of multi-modal correlated imaging-genomics data in glioblastoma. GENSiPS 2013: 5-8 - [c6]Carlos Ordonez, Javier García-García, Carlos Garcia-Alvarado, Wellington Cabrera, Veerabhadran Baladandayuthapani, Mohammed S. Quraishi:
Data mining algorithms as a service in the cloud exploiting relational database systems. SIGMOD Conference 2013: 1001-1004 - 2012
- [c5]Carlos Garcia-Alvarado, Carlos Ordonez, Veerabhadran Baladandayuthapani:
Querying external source code files of programs connecting to a relational database. PIKM 2012: 9-16 - [c4]Elizabeth M. Jennings, Jeffrey S. Morris, Raymond J. Carroll, Ganiraju Manyam
Hierarchical Bayesian methods for integration of various types of genomics data. GENSiPS 2012: 5-8 - [c3]Sanvesh Srivastava, Wenyi Wang
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. GENSiPS 2012: 18-21 - [c2]Karl B. Gregory, Kevin R. Coombes
Latent feature decompositions for integrative analysis of diverse high-throughput genomic data. GENSiPS 2012: 130-134 - 2011
- [j1]Vinícius Bonato
Bayesian ensemble methods for survival prediction in gene expression data. Bioinform. 27(3): 359-367 (2011) - 2010
- [c1]Mario Navas, Carlos Ordonez, Veerabhadran Baladandayuthapani:
On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs. ICDM 2010: 941-946
Coauthor Index
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